A system of modules which control and measure energy usage at a building which are in communication with a software program executing on a remote server controlled by a third party. The third party said usage via the software program which communicates with the modules to modify energy usage and demand for energy and is responsible or liable for energy usage charges the building where the third party does not actually use the energy.

Apparatuses, methods and storage medium associated with an intelligent LED light apparatus are disclosed herein. In embodiments, an intelligent LED light apparatus may include a communication interface, a processor, a body that encases at least the communication interface and the processor, and a plurality of sensors of a plurality of sensor types disposed on the body. The processor may be configured to receive sensor data from the sensors, and transmit the sensor data or results from processing the sensor data to an external recipient. Further, for some embodiments, the intelligent LED bulb apparatus may further comprise LED lights, and the body further encases the LED lights. In other embodiments, the body may include a male connector to mate with a bulb receptor, and a female connector to mate with a LED bulb. Other embodiments may be disclosed or claimed.

An energy monitoring system is provided including an inductive clamp associated with an electric circuit and configured to measure current load of the electric circuit and an energy monitoring device. The energy monitoring device comprises a processor and a memory including computer program code, the memory and the computer programming code configured to, with the processor, cause the monitoring device to receive circuit data including the measured current from the inductive clamp, determine a Power Set for one or more intermittent loads associated with the electric circuit based at least in part on the circuit data, determine a solution for the circuit data based on determined Solution Sets of the Power Set, and determine an energy usage for an appliance based on the solution.

A power storage system includes an AC/DC converter, a first control device, a power storage device, and a load. The first control device includes a measuring portion that measures the amount of power consumed by the load, a predicting portion that predicts the demand for power consumed by the load on the basis of the amount of power consumed by the load, and a planning portion that makes a charge and discharge plan of the power storage device on the basis of the demand for power predicted by the predicting portion. The power storage device includes a second control device, a DC/DC converter, a first battery cell group, and a second battery cell group. The power storage device is placed in an underfloor space surrounded by a base and a floor of a building.

The present disclosure provides a computer-implemented method for prioritizing one or more instructional control strategies to reduce time-variant energy demand of a built environment associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes parsing and comparison of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes identification and prioritization of one or more instructional control strategies to reduce the time-variant energy demand associated with the built environment.

A central plant that generates and provides resources to a building. The central plant includes an electrical energy storage subplant configured to store electrical energy purchased from a utility and to discharge the stored electrical energy. The central plant includes a plurality of generator subplants that consume one or more input resources. The central plant includes a controller configured to determine, for each time step within a time horizon, an optimal allocation of the input resources and the output resources for each of the subplants in order to optimize a total monetary value of operating the central plant over the time horizon. The total monetary value includes revenue from participating in incentive-based demand response programs as well as costs associated with resource consumption, equipment degradation, and losses in battery capacity.

A frequency response optimization system includes a battery configured to store and discharge electric power, a power inverter configured to control an amount of the electric power stored or discharged from the battery at each of a plurality of time steps during a frequency response period, and a frequency response controller. The frequency response controller is configured to receive a regulation signal from an incentive provider, determine statistics of the regulation signal, use the statistics of the regulation signal to generate an optimal frequency response midpoint that achieves a desired change in a state-of-charge (SOC) of the battery while participating in a frequency response program, and use the midpoints to determine optimal battery power setpoints for the power inverter. The power inverter is configured to use the optimal battery power setpoints to control the amount of the electric power stored or discharged from the battery.

Disclosed is a monitoring apparatus (10) including a user management unit (11) that acquires, in association with each of plural users, a residual power level of a storage battery used by the user, a detection unit (12) that detects a predetermined event, and a setting unit (13) that sets, when the predetermined event is detected, the degree of urgency of need for a predetermined measure for each user based on the residual power level of the storage battery.

Various embodiments provide appliances and electronic devices and methods implemented in such appliances and electronic devices to improve Demand Response (DR) capabilities and responses while mitigating interrupts to services provided to consumers. Various embodiments improve on DR systems by equipping a variety of electronic devices and appliances with integrated internal energy storage (e.g., battery), control and communication capabilities that enable responding to DR events by splitting power drawn by the devices or appliances between the grid and the integrated internal energy storage. Some embodiments further improve on conventional DR systems by enabling utilities to recharge batteries in electronic devices and appliances when power on the grid exceeds demand, thereby enabling utilities to increase demand when required in order to better balance power demands with power generation. Such may support the grid by increasing or decreasing load on the grid in response to grid frequency.

A system and method for supplying uninterruptible power includes a housing, a power supply input for a DC power source, a power source equipment input, a powered device output, an alternative power supply, a control module, and a power source equipment extension. The control module includes a comparator, a switch, a line filter and protector and an injector. The injector includes a regulator and PoE power management module. The alternative power supply includes a plurality of battery packs in series. The system can be located at a remote location with only DC power sources, such as generators, batteries, and solar cells.